Delay Extraction from Frequency Domain Data for Causal Macro-modeling of Passive Networks

Mandrekar, R.; Swaminathan, Madhavan

doi:10.1109/iscas.2005.1465946

Cited by 11 publications

(22 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the two imaginary parts are overlapped, the input data can be considered causal. For passivity, the tool computes the 2-norm of the S-parameter matrix [2][3]. The data represent a passive system when the computed 2-norm is less than one.…”

Section: A S-parameter Managermentioning

confidence: 99%

Link path design on a block-by-block basis

Paulis

Fan

Diepenbrock

et al. 2008

2008 IEEE International Symposium on Electromagnetic Compatibility

View full text Add to dashboard Cite

In high-speed data communication systems, the complexity of link path between transmitters and receivers present a challenge for designers to maintain an acceptable bit error rate. An approach is presented in this paper to design the link path on a block-by-block basis. The unique advantage of this approach lies on the physics-based model of each block, which relates performance to geometry and makes design improvement and optimization possible. An example link path involving a backpanel is investigated using the approach. The via stubs and the dielectric materials in the backpanel are demonstrated to be critical factors for link performance in certain situations. Keywords-link path design, block-by-block approach, via stub, backpanel

show abstract

Section: A S-parameter Managermentioning

confidence: 99%

Link path design on a block-by-block basis

Paulis

Fan

Diepenbrock

et al. 2008

2008 IEEE International Symposium on Electromagnetic Compatibility

View full text Add to dashboard Cite

show abstract

“…If intrinsic electromagnetic parameters of ingredients of a composite satisfy causality, the effective parameters, calculated using the MGA, should also be causal. If the effective permittivity ε eff -M G (f ) is represented in the Debye form, then the causality expressed through the Kramers-Krönig relations (KKR) [32][33][34] is satisfied automatically. This is important for simulation convergence of numerical codes in time domain, if the material with ε eff -M G (f ) is modeled using one of the time-domain numerical electromagnetic technique [35].…”

Section: Introductionmentioning

confidence: 99%

Homogenized Permittivity of Composites With Aligned Cylindrical Inclusions for Causal Electromagnetic Simulations

Paulis¹,

Nişanci²,

Koledintseva³

et al. 2012

PIER B

View full text Add to dashboard Cite

Abstract-The paper gives an analytical transition from the Maxwell Garnett model of a biphasic mixture (dielectric host and dielectric or conducting inclusions) to the parameters of a singleor double-term Debye representation of the material frequency response. The paper is focused on modeling biphasic mixtures containing cylindrical inclusions. This is practically important for engineering electromagnetic absorbing composite materials, for example, containing carbon fibers. The causal Debye representation is important for incorporation of a composite material in numerical electromagnetic codes, especially time-domain techniques, such as the finite-difference time-domain (FDTD) technique. The equations derived in this paper are different for different types of host and inclusion materials. The corresponding cases for the typical combinations of host and inclusion materials are considered, and examples are provided. The difference between the original Maxwell Garnett model and the derived Debye model is quantified for validating the proposed analytical derivation. It is demonstrated that in some cases the derived equivalent Debye model well approximates the frequency characteristics of the homogeneous model based on the MGA, and in some cases there is an exact match between Debye and Maxwell Garnett models.

show abstract

“…However, this approach has a number of challenging problems whose importance is increasing with the increase in digital system speed. Some of those problems stated in [1] are: (a) "with increasing clock frequencies, the size of the passive structures is comparable to the signal wavelength at the operating frequency, leading to distributed effects like delay playing an important role in the time domain analysis. These distributed effects imply that there are many causality conditions that need to be satisfied, to generate the correct signal response in the time domain.…”

Section: Introductionmentioning

confidence: 99%

“…With this trend of increase in the digital system speed, a number of frequency-dependant behaviors start to impact signal propagation in typical digital system. Examples of those behaviors are; skin effect (frequency dependant losses) [1] and [3]- [5] and frequency dependant dielectric constant [6]. Analyzing the impact of those frequency-dependant parameters on SI can be done using the same traditional TD based tools and methodology [2], but this approach involves a non-straight-forward correlation between TD simulations and those frequency-dependant behaviors.…”

Section: Introductionmentioning

confidence: 99%

A new frequency domain based methodology for signal integrity analysis

El-Rouby¹

2010

The 2010 International Conference on Computer Engineering &Amp; Systems

View full text Add to dashboard Cite

The co-existence of two different sets of parameter definitions, requirements and specifications in the domain of digital system design; namely the time domain (TD) and frequency domain (FD), is imposing some challenges on digital system design. Those challenges are increasing with the increase in system speed and are hard to address using traditional methods. This paper proposes a new methodology to perform signal integrity (SI) analysis, fully, in frequency domain to help addressing those challenges. To perform SI analysis, fully, in FD it is required to build the correct system model, construct an efficient methodology and develop quantitative measures and relationships as well as correlation to TD quantities. The focus in this paper will be on the first two items where a system model and an efficient FD methodology are introduced and their accuracy, compared to TD simulations, is examined. Keywords-digital system design, frequency domain, signal integrity, time-domain frequency-domain correlation. I INTRODUCTIONIn the digital system domain, there are two different sets of parameters to define electrical specifications of system components as well as parameters and requirements, namely time domain (TD) and frequency domain (FD). TD parameters, such as rise time, fall time, slew rate, over and under shoot, ring back, etc. are more suitable to define the specifications of active components such as input/output (IO) driver and receiver buffers, therefore TD parameters are widely used by silicon manufacturers and designers. On the other hand, FD parameters, such as trace impedance, reflection coefficient, cross talk, etc. are more suitable to describe the spectrum and bandwidth of signals, frequency characteristics of materials and interconnect components. Hence, FD is widely used in describing the characteristics of materials, interconnect components, printed circuit boards (PCBs) and passive components in general.A typical digital electronic system is composed of a driver and a receiver, each usually contained in a package, connected to each other over an interconnect (sockets, PCB traces, vias, cables and connectors) as shown in Figure 1.Typical SI analysis aims at simulating -for developing and/or debugging a digital electronic system-electrical signal waveforms propagating from driver to receiver over the interconnect under; all, worst or statistically selected, cases of possible operating conditions. The common practice is to use a TD transient analysis tool, commercial or self-developed EDA, such as SPICE and ELDO. This common practice is inherited from the era of low speed digital system and implies the cosimulation of the passive and active system elements in the same environment, which represents an area of continuous research [2]. Figure 1: simplified general schematic for a typical digital electronics systemIn general, this co-simulation is performed by developing accurate models for the passive elements in the FD then approximating them with lumped-element equivalent models for the co-simulation, in T...

show abstract

Delay Extraction from Frequency Domain Data for Causal Macro-modeling of Passive Networks

Cited by 11 publications

References 1 publication

Link path design on a block-by-block basis

Link path design on a block-by-block basis

Homogenized Permittivity of Composites With Aligned Cylindrical Inclusions for Causal Electromagnetic Simulations

A new frequency domain based methodology for signal integrity analysis

Contact Info

Product

Resources

About